postprob_DE: Calculate the posterior probability of being differentially...
In XiangyuLuo/BUScorrect: Batch Effects Correction with Unknown Subtypes

Description Usage Arguments Value Author(s) References Examples

Calculate the posterior probability of being differentially expressed for genes in subtypes k (k>=2) compared to subtype 1.

1	postprob_DE(BUSfits)

BUSfits

The BUSfits object output by the function BUSgibbs.

postprob_DE_matr

the matrix of posterior probabilities of being differentially expressed

Xiangyu Luo

Xiangyu Luo, Yingying Wei. Batch Effects Correction with Unknown Subtypes. Journal of the American Statistical Association. Accepted.

rm(list = ls(all = TRUE))  
set.seed(123)
#a toy example, there are 6 samples and 20 genes in each batch
example_Data <- list()

#batch 1
example_Data[[1]] <- rbind(matrix(c(1,1,5,5,10,10,
						3,3,7,7,12,12), ncol=6, byrow=TRUE), matrix(c(1,2),nrow=18, ncol=6))

#batch 2
batch2_effect <- c(2,2,2,1,1)
example_Data[[2]] <- rbind(matrix(c(1,1,5,5,10,10,
						3,3,7,7,12,12), ncol=6, byrow=TRUE), matrix(c(1,2),nrow=18, ncol=6)) + batch2_effect

#batch 3
batch3_effect <- c(3,2,1,1,2)
example_Data[[3]] <- rbind(matrix(c(1,1,5,5,10,10,
						3,3,7,7,12,12), ncol=6, byrow=TRUE), matrix(c(1,2),nrow=18, ncol=6)) + batch3_effect

set.seed(123)
BUSfits <- BUSgibbs(example_Data, n.subtypes = 3, n.iterations = 100, showIteration = FALSE)
postprob_DE(BUSfits)